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                        机器学习（常用科学计算库的使用）基础定位、目标
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                            <b>1.</b>
                        
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                        人工智能发展历程
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                            <b>1.3.</b>
                        
                        人工智能主要分支
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                        Azure机器学习模型搭建实验
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                        库的安装
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                        Matplotlib之HelloWorld
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                        Numpy
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                        Numpy的优势
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                        高级处理-数据离散化
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                        <h1 id="18-&#x6DF1;&#x5EA6;&#x5B66;&#x4E60;&#x7B80;&#x4ECB;">1.8 &#x6DF1;&#x5EA6;&#x5B66;&#x4E60;&#x7B80;&#x4ECB;</h1>
<h2 id="&#x5B66;&#x4E60;&#x76EE;&#x6807;">&#x5B66;&#x4E60;&#x76EE;&#x6807;</h2>
<ul>
<li>&#x76EE;&#x6807;<ul>
<li>&#x4E86;&#x89E3;&#x4EC0;&#x4E48;&#x662F;&#x6DF1;&#x5EA6;&#x5B66;&#x4E60;</li>
</ul>
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<hr>
<h2 id="1-&#x6DF1;&#x5EA6;&#x5B66;&#x4E60;-&#x2014;&#x2014;-&#x795E;&#x7ECF;&#x7F51;&#x7EDC;&#x7B80;&#x4ECB;">1 &#x6DF1;&#x5EA6;&#x5B66;&#x4E60; &#x2014;&#x2014; &#x795E;&#x7ECF;&#x7F51;&#x7EDC;&#x7B80;&#x4ECB;</h2>
<p>&#x6DF1;&#x5EA6;&#x5B66;&#x4E60;&#xFF08;Deep Learning&#xFF09;&#xFF08;&#x4E5F;&#x79F0;&#x4E3A;&#x6DF1;&#x5EA6;&#x7ED3;&#x6784;&#x5B66;&#x4E60;&#x3010;Deep Structured Learning&#x3011;&#x3001;&#x5C42;&#x6B21;&#x5B66;&#x4E60;&#x3010;Hierarchical Learning&#x3011;&#x6216;&#x8005;&#x662F;&#x6DF1;&#x5EA6;&#x673A;&#x5668;&#x5B66;&#x4E60;&#x3010;Deep Machine Learning&#x3011;&#xFF09;&#x662F;&#x4E00;&#x7C7B;&#x7B97;&#x6CD5;&#x96C6;&#x5408;&#xFF0C;&#x662F;&#x673A;&#x5668;&#x5B66;&#x4E60;&#x7684;&#x4E00;&#x4E2A;&#x5206;&#x652F;&#x3002;</p>
<p><img src="images/NN&#x7B80;&#x4ECB;.png" alt="image-20190218131208199"></p>
<p>&#x6DF1;&#x5EA6;&#x5B66;&#x4E60;&#x65B9;&#x6CD5;&#x8FD1;&#x5E74;&#x6765;&#xFF0C;&#x5728;&#x4F1A;&#x8BDD;&#x8BC6;&#x522B;&#x3001;&#x56FE;&#x50CF;&#x8BC6;&#x522B;&#x548C;&#x5BF9;&#x8C61;&#x4FA6;&#x6D4B;&#x7B49;&#x9886;&#x57DF;&#x8868;&#x73B0;&#x51FA;&#x4E86;&#x60CA;&#x4EBA;&#x7684;&#x51C6;&#x786E;&#x6027;&#x3002;</p>
<p>&#x4F46;&#x662F;&#xFF0C;&#x201C;&#x6DF1;&#x5EA6;&#x5B66;&#x4E60;&#x201D;&#x8FD9;&#x4E2A;&#x8BCD;&#x8BED;&#x5F88;&#x53E4;&#x8001;&#xFF0C;&#x5B83;&#x5728;1986&#x5E74;&#x7531;Dechter&#x5728;&#x673A;&#x5668;&#x5B66;&#x4E60;&#x9886;&#x57DF;&#x63D0;&#x51FA;&#xFF0C;&#x7136;&#x540E;&#x5728;2000&#x5E74;&#x6709;Aizenberg&#x7B49;&#x4EBA;&#x5F15;&#x5165;&#x5230;&#x4EBA;&#x5DE5;&#x795E;&#x7ECF;&#x7F51;&#x7EDC;&#x4E2D;&#x3002;&#x800C;&#x73B0;&#x5728;&#xFF0C;&#x7531;&#x4E8E;Alex Krizhevsky&#x5728;2012&#x5E74;&#x4F7F;&#x7528;&#x5377;&#x79EF;&#x7F51;&#x7EDC;&#x7ED3;&#x6784;&#x8D62;&#x5F97;&#x4E86;ImageNet&#x6BD4;&#x8D5B;&#x4E4B;&#x540E;&#x53D7;&#x5230;&#x5927;&#x5BB6;&#x7684;&#x77A9;&#x76EE;&#x3002;</p>
<p>&#x5377;&#x79EF;&#x7F51;&#x7EDC;&#x4E4B;&#x7236;&#xFF1A;Yann LeCun</p>
<p><img src="images/Yann LeCun.png" alt="image-20190218131327040"></p>
<ul>
<li><p>&#x6DF1;&#x5EA6;&#x5B66;&#x4E60;&#x6F14;&#x793A;</p>
<ul>
<li><a href="http://playground.tensorflow.org" target="_blank">&#x94FE;&#x63A5;:http://playground.tensorflow.org  </a></li>
</ul>
</li>
</ul>
<p><img src="images/&#x795E;&#x7ECF;&#x7F51;&#x7EDC;&#x6F14;&#x793A;.png" alt="image-20190312224420601"></p>
<h2 id="2-&#x6DF1;&#x5EA6;&#x5B66;&#x4E60;&#x5404;&#x5C42;&#x8D1F;&#x8D23;&#x5185;&#x5BB9;">2 &#x6DF1;&#x5EA6;&#x5B66;&#x4E60;&#x5404;&#x5C42;&#x8D1F;&#x8D23;&#x5185;&#x5BB9;</h2>
<p>&#x795E;&#x7ECF;&#x7F51;&#x7EDC;&#x5404;&#x5C42;&#x8D1F;&#x8D23;&#x5185;&#x5BB9;&#xFF1A;</p>
<p><strong>1&#x5C42;&#xFF1A;&#x8D1F;&#x8D23;&#x8BC6;&#x522B;&#x989C;&#x8272;&#x53CA;&#x7B80;&#x5355;&#x7EB9;&#x7406;</strong></p>
<p><img src="images/dl_l1.png" alt="image-20190218132153757"></p>
<p><strong>2&#x5C42;&#xFF1A;&#x4E00;&#x4E9B;&#x795E;&#x7ECF;&#x5143;&#x53EF;&#x4EE5;&#x8BC6;&#x522B;&#x66F4;&#x52A0;&#x7EC6;&#x5316;&#x7684;&#x7EB9;&#x7406;&#xFF0C;&#x5E03;&#x7EB9;&#xFF0C;&#x523B;&#x7EB9;&#xFF0C;&#x53F6;&#x7EB9;&#x7B49;</strong></p>
<p><img src="images/dl_l2.png" alt="image-20190218132305039"></p>
<p><strong>3&#x5C42;&#xFF1A;&#x4E00;&#x4E9B;&#x795E;&#x7ECF;&#x5143;&#x8D1F;&#x8D23;&#x611F;&#x53D7;&#x9ED1;&#x591C;&#x91CC;&#x7684;&#x9EC4;&#x8272;&#x70DB;&#x5149;&#xFF0C;&#x9AD8;&#x5149;&#xFF0C;&#x8424;&#x706B;&#xFF0C;&#x9E21;&#x86CB;&#x9EC4;&#x8272;&#x7B49;&#x3002;</strong></p>
<p><img src="images/dl_l3.png" alt="image-20190218132332337"></p>
<p><strong>4&#x5C42;&#xFF1A;&#x4E00;&#x4E9B;&#x795E;&#x7ECF;&#x5143;&#x8BC6;&#x522B;&#x840C;&#x72D7;&#x7684;&#x8138;&#xFF0C;&#x5BA0;&#x7269;&#x5F62;&#x8C8C;&#xFF0C;&#x5706;&#x67F1;&#x4F53;&#x4E8B;&#x7269;&#xFF0C;&#x4E03;&#x661F;&#x74E2;&#x866B;&#x7B49;&#x7684;&#x5B58;&#x5728;&#x3002;</strong></p>
<p><img src="images/dl_l4.png" alt="image-20190218132403457"></p>
<p><strong>5&#x5C42;&#xFF1A;&#x4E00;&#x4E9B;&#x795E;&#x7ECF;&#x5143;&#x8D1F;&#x8D23;&#x8BC6;&#x522B;&#x82B1;&#xFF0C;&#x9ED1;&#x773C;&#x5708;&#x52A8;&#x7269;&#xFF0C;&#x9E1F;&#xFF0C;&#x952E;&#x76D8;&#xFF0C;&#x539F;&#x578B;&#x5C4B;&#x9876;&#x7B49;&#x3002;</strong></p>
<p><img src="images/dl_l5.png" alt="image-20190218132428140"></p>
<h2 id="4-&#x5C0F;&#x7ED3;">4 &#x5C0F;&#x7ED3;</h2>
<ul>
<li>&#x6DF1;&#x5EA6;&#x5B66;&#x4E60;&#x7684;&#x53D1;&#x5C55;&#x6E90;&#x5934;--&#x795E;&#x7ECF;&#x7F51;&#x7EDC;&#x3010;&#x4E86;&#x89E3;&#x3011;</li>
<li>&#x591A;&#x5C42;&#x795E;&#x7ECF;&#x7F51;&#x7EDC;&#xFF0C;&#x5728;&#x6700;&#x521D;&#x51E0;&#x5C42;&#x662F;&#x8BC6;&#x522B;&#x7B80;&#x5355;&#x5185;&#x5BB9;&#xFF0C;&#x540E;&#x9762;&#x51E0;&#x5C42;&#x662F;&#x8BC6;&#x522B;&#x4E00;&#x4E9B;&#x590D;&#x6742;&#x5185;&#x5BB9;&#x3002;&#x3010;&#x4E86;&#x89E3;&#x3011;</li>
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